Triple

T15941556
Position Surface form Disambiguated ID Type / Status
Subject Mezen River E386575 entity
Predicate hasSettlementOnRiver P101055 FINISHED
Object Kamenka
Kamenka is a rural settlement located along the Mezen River in northern European Russia.
 E1185608 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Kamenka | Statement: [Mezen River, hasSettlementOnRiver, Kamenka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kamenka
Context triple: [Mezen River, hasSettlementOnRiver, Kamenka]
  • A. Kuzminki
    Kuzminki is a Moscow Metro station on the Tagansko–Krasnopresnenskaya Line serving the Kuzminki District in southeastern Moscow.
  • B. Krasnobród
    Krasnobród is a small town in southeastern Poland known for its historical role in World War II and as a local tourist and spa destination in the Roztocze region.
  • C. Demänovka
    Demänovka is a river in the Liptov region of northern Slovakia, known for flowing through the Demänovská Valley in the Low Tatras.
  • D. Kamionka
    Kamionka is a district (sołectwo) of the town of Mikołów in the Silesian Voivodeship of southern Poland.
  • E. Klintsy
    Klintsy is a city in western Russia known as an industrial and cultural center within Bryansk Oblast.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kamenka
Triple: [Mezen River, hasSettlementOnRiver, Kamenka]
Generated description
Kamenka is a rural settlement located along the Mezen River in northern European Russia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kamenka
Target entity description: Kamenka is a rural settlement located along the Mezen River in northern European Russia.
  • A. Kuzminki
    Kuzminki is a Moscow Metro station on the Tagansko–Krasnopresnenskaya Line serving the Kuzminki District in southeastern Moscow.
  • B. Krasnobród
    Krasnobród is a small town in southeastern Poland known for its historical role in World War II and as a local tourist and spa destination in the Roztocze region.
  • C. Demänovka
    Demänovka is a river in the Liptov region of northern Slovakia, known for flowing through the Demänovská Valley in the Low Tatras.
  • D. Kamionka
    Kamionka is a district (sołectwo) of the town of Mikołów in the Silesian Voivodeship of southern Poland.
  • E. Klintsy
    Klintsy is a city in western Russia known as an industrial and cultural center within Bryansk Oblast.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156ce0230819089a20114a755a75a completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe7455c48190bfad24eb8905426d completed May 9, 2026, 11:08 p.m.
NEDg Description generation batch_69ffbf50d5fc8190a045846f046e04cf completed May 9, 2026, 11:12 p.m.
NED2 Entity disambiguation (via description) batch_69ffbfb1ed7c81908771dedce172707a completed May 9, 2026, 11:13 p.m.
Created at: April 10, 2026, 4:53 a.m.